Instructions to use GraydientPlatformAPI/indigo-se02-vpred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/indigo-se02-vpred with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/indigo-se02-vpred", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 83edcc0396041425ba12b9611cc9b6c5732f8ef21bfa0d7563dd9b6738a7255e
- Size of remote file:
- 1.72 GB
- SHA256:
- 24d980e8e493a990a0ebad16d613e49ec397a27771a0b18a776c3d07ff98adab
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